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PLearn 0.1
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#include <plearn/base/stringutils.h>#include <plearn_learners/generic/PLearner.h>#include <plearn/var/TransposeProductVariable.h>#include <plearn/var/ConcatColumnsVariable.h>#include <plearn/var/VarRowVariable.h>#include <plearn/math/random.h>

Go to the source code of this file.
Classes | |
| class | PLearn::EntropyContrast |
| class | PLearn::DiffTemplate< ObjectType, EntropyContrast > |
| class | PLearn::TypeTraits< EntropyContrast > |
Namespaces | |
| namespace | PLearn |
< for swap | |
Defines | |
| #define | PROB_TABLE_LIMIT 10000000 |
| #define | MY_PRECISION 0.0000000000001 |
| #define | MY_LOG_PRECISION 0.0001 |
Functions | |
| Object * | PLearn::toObjectPtr (const EntropyContrast &o) |
| PStream & | PLearn::operator>> (PStream &in, EntropyContrast &o) |
| PStream & | PLearn::operator>> (PStream &in, EntropyContrast *&o) |
| PStream & | PLearn::operator<< (PStream &out, const EntropyContrast &o) |
| PStream & | PLearn::operator>> (PStream &in, PP< EntropyContrast > &o) |
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, EntropyContrast > *opt, PLearnDiff *diffs) |
Definition in file EntropyContrast.h.
| #define MY_LOG_PRECISION 0.0001 |
Definition at line 51 of file EntropyContrast.h.
| #define MY_PRECISION 0.0000000000001 |
Definition at line 50 of file EntropyContrast.h.
| #define PROB_TABLE_LIMIT 10000000 |
Definition at line 42 of file EntropyContrast.h.
1.7.4